How to Build a Markov Chain Regime Switching Bot in Python with Interactive Brokers | Part 1

Опубликовано: 19 Май 2026
на канале: Roman Paolucci

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I hope you enjoyed!

Roman
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📖 Chapters:
00:00 - Algorithmic Trading Across Regimes
01:39 - Live Regime Detection Bot Demo
03:38 - Source Code and Getting Started (Imports)
07:25 - IBApp Class (Interactive Brokers API)
22:36 - OHLCBar Class (Candles)
27:05 - MarkovRegime Class (Markov Chain Model)
29:45 - LiveMarketDashboard Class (User Interface)
01:17:55 - Contract Creation
01:20:23 - IB Connection and Disconnection
01:29:04 - Streaming Live Pricing Data
01:42:00 - Tick Data Callback Method
01:46:05 - Bar Management Loop
01:49:28 - Update Loop (Chart/Data/Stats)
02:14:40 - On Close and Application Entry
02:17:56 - Minor Debugging
02:20:28 - Final Product Demonstration
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🗣️ Shout Outs

A special thank you to my members on YouTube for supporting my channel and enabling me to continue to create videos just like this one!

⭐ Quant Guild Directors
Dr. Jason Pirozzolo
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▶️ Related Videos

Referenced Videos 👉

Why Your Backtests are Wrong | Markov Property for Quant Trading
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Markov Chains in Quant Finance
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Hidden Markov Models for Quant Finance
   • Hidden Markov Models for Quant Finance

Statistics and Trading Profitability Over Time (Edge) 📈

Quant on Trading and Investing
   • Quant on Trading and Investing

Quant Trader on Retail vs Institutional Trading
   • Quant Trader on Retail vs. Institutional T...

Why Trading Metrics are Misleading
   • Why Trading Metrics are Misleading (Unless...

Quant vs. Discretionary Trading
   • Quant vs. Discretionary Trading
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Recipes for simulating stochastic processes:
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